The report "Generative AI Server Market by Processor Type (GPU, FPGA, ASIC), Function (Training, Inference), Form Factor ...

The cost of training today’s large-scale foundation models is often reduced to a single number: the price of a GPU hour. It's ...

Stop overpaying for idle GPUs by splitting your LLM workload into prompt and generation pools. It’s like giving your AI its ...

Google's 8th-gen TPUs split training and inference into two chips. Here's what it means for enterprise AI infrastructure ...

The FINOS community, including members Citi, Morgan Stanley, RBC, AWS, and Oracle, is advancing open HPC initiatives that deliver faster, smarter, more accessible, and drastically more efficient ...

KSManage is designed for next-gen AI data center, with four-level visibility across components, servers and cabinets, ...

Reproducibility is fundamental to science. Yet digital technology casts an increasingly long shadow on the principle. When independent investigators examine studies, they are unable to validate about ...

AI-ready notebooks are forcing designers to rethink thermal architecture, acoustics, and internal layout all at once.

Graphics processing units have fundamentally reshaped how professionals across numerous disciplines approach demanding ...

For years, GPUs have been the default answer for AI workloads. That made sense. They were already widely available, they were ...

Nvidia's AI chip dominance faces threats from tech giants and geopolitical tensions, demanding strategic transparency.

Nvidia released what it calls the world's first family of open AI models built to reduce errors in quantum computers in a bid ...